ELSA Robust Android Malware Detection Competition

The ELSA Cybersecurity Use Case team is exited to announce a new challenge!

The “Robust Android Malware Detection Competition, hosted by IEEE SaTML 2025“, aims to evaluate ML-based detectors concerning

• Adversarial Robustness to Feature-space Attacks

• Adversarial Robustness to Problem-space Attacks

• Temporal Robustness to Data Drift

The participants must train their models on the challenge dataset, evaluate them with the provided code, and submit the results. They can access all necessary information and datasets via our benchmarks platform.

Join the Challenge

Here’s how to get started:

• register via the ELSA benchmarks platform

• read the competition rules and instructions

• download the datasets and store them in the data folder

• implement your detector

• run the provided code

• submit your results

ELSA's Cybersecurity Use Case is excited for your submissions.